Carlos Amaya — OGILVIE

Carlos AmayaC Stockton Ports

Age 24 R/R 5'10" / 165 lbs A HR -5% Svc 0.0 · Ctrl thru 2036

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 91 proj PA

wRC+†65

AVG/OBP/SLG.210 / .268 / .312

PA7

HR0

K%28

BB%6

ISO104

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$2M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	19	ROK	ACL Athletics	—	75	63	26	6	1	0	10	12	1	2	2	413	500	540	1.040	127	500	16	13	456	195	+8	-0	—	—	+2	1.0
2022	20	ROK	ACL Athletics	—	127	112	28	9	1	3	12	31	1	2	1	250	328	429	757	179	312	24	9	331	110	+2	+0	—	—	+3	0.4
2023	21	A+	Lansing Lugnuts	—	57	53	7	2	0	0	1	14	1	0	0	132	164	170	333	38	171	25	2	150	-13	-8	+0	—	—	+1	-0.7
2024	22	A+	Lansing Lugnuts	—	38	36	8	2	0	0	0	7	0	0	0	222	222	278	500	56	267	18	0	210	29	-3	+0	—	—	+1	-0.2
2024	22	A	Stockton Ports	—	152	134	28	7	0	2	15	36	2	1	1	209	298	306	604	97	271	24	10	278	74	-5	-0	—	—	+3	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	19	ROK MLE	ACL Athletics	—	75	67	21	4	1	0	6	17	1	2	2	313	378	403	781	90	397	23	8	337	114	+1	-0	—	—	+2	0.3
2022	20	ROK MLE	ACL Athletics	—	127	117	20	6	1	2	7	45	1	2	1	171	224	291	515	120	238	35	6	225	38	-9	+0	—	—	+3	-0.7
2023	21	A+ MLE	Lansing Lugnuts	—	57	53	6	2	0	0	1	20	1	0	0	113	145	151	296	38	156	35	2	123	-31	-9	+0	—	—	+1	-0.8
2024	22	A+ MLE	Lansing Lugnuts	—	38	36	7	2	0	0	0	10	0	0	0	194	194	250	444	56	231	26	0	177	6	-4	+0	—	—	+1	-0.3
2024	22	A MLE	Stockton Ports	—	152	139	24	6	0	1	10	48	2	1	1	173	238	237	476	65	249	32	7	219	34	-12	-0	—	—	+3	-0.9
2021	19	ROK MLE	ACL Athletics	—	75	67	21	4	1	0	6	17	1	2	2	313	378	403	781	90	412	23	8	337	114	—	—	—	—	—	—
2021	19	ROK RAW	ACL Athletics	—	75	63	26	6	1	0	10	12	1	2	2	413	500	540	1.040	127	500	16	13	456	114	—	—	—	—	—	—
2022	20	ROK MLE	ACL Athletics	—	127	117	20	6	1	2	7	45	1	2	1	171	224	291	515	120	250	35	6	225	38	—	—	—	—	—	—
2022	20	ROK RAW	ACL Athletics	—	127	112	28	9	1	3	12	31	1	2	1	250	328	429	757	179	312	24	9	331	38	—	—	—	—	—	—
2023	21	A+ MLE	Lansing Lugnuts	—	57	53	6	2	0	0	1	20	1	0	0	113	145	151	296	38	171	35	2	123	-31	—	—	—	—	—	—
2023	21	A+ RAW	Lansing Lugnuts	—	57	53	7	2	0	0	1	14	1	0	0	132	164	170	333	38	171	25	2	150	-31	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	190	175	30	7	0	1	10	57	2	1	1	171	225	229	453	57	246	30	5	211	29	—	—	—	—	—	—
2024	22	A RAW	2 teams	—	190	170	36	9	0	2	15	43	2	1	1	212	283	300	583	88	270	23	8	265	29	—	—	—	—	—	—
2021	19	ROK MLE	ACL Athletics	—	75	68	21	4	1	0	6	17	1	2	2	309	378	397	775	88	397	23	8	337	114	—	—	—	—	—	—
2022	20	ROK MLE	ACL Athletics	—	127	118	20	6	1	2	7	45	1	2	1	169	224	288	512	119	238	35	6	225	38	—	—	—	—	—	—
2023	21	A+ MLE	Lansing Lugnuts	—	57	55	6	2	0	0	1	20	1	0	0	109	145	145	291	36	156	35	2	123	-31	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	190	176	30	7	0	1	10	57	2	1	1	170	225	227	452	57	245	30	5	211	29	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	21	A+ MLE	Lansing Lugnuts	—	57	55	6	2	0	0	1	20	1	0	0	109	145	145	291	36	156	35	2	123	-31	—	—	—	—	—	—
2024	22	A MLE	2 teams	—	190	176	30	7	0	1	10	57	2	1	1	170	225	227	452	57	245	30	5	211	29	—	—	—	—	—	—
▸ 2026 season
2026	24	MLB MLE	OAK	0%	7	7	1	0	0	0	0	2	0	0	0	143	143	143	286		284	29	0	264	65	-0	+0	+0	+0	+0	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	OAK	30%	135	124	26	5	1	2	9	37	1	2	1	210	269	315	583	105	285	27	7	273	71	-5	+0	+0	+2	+3	0.1
2028	26	MLB MLE	OAK	44%	239	219	48	9	1	5	16	65	2	4	1	219	278	338	616	119	286	27	7	279	75	-7	+0	+0	+4	+5	0.3
2029	27	MLB MLE	OAK	49%	302	275	61	12	2	6	21	81	3	4	1	222	284	345	630	124	286	27	7	281	76	-9	+0	+0	+5	+7	0.4
2030	28	MLB MLE	OAK	51%	343	312	69	13	2	7	25	93	3	5	1	221	285	343	628	122	286	27	7	281	76	-10	+1	-1	+6	+7	0.4
2031	29	MLB MLE	OAK	51%	362	329	72	14	2	7	26	98	4	5	1	219	284	337	622	119	285	27	7	279	75	-11	+1	-1	+6	+8	0.3
2032	30	MLB MLE	OAK	51%	373	339	73	14	2	7	27	102	4	4	1	215	281	330	611	115	284	27	7	276	73	-12	+0	-2	+7	+8	0.1
2033	31	MLB MLE	OAK	51%	358	326	70	13	2	7	26	99	3	4	1	215	279	331	610	117	281	28	7	272	70	-13	+0	-3	+6	+8	-0.1
2027	25	MLB CTX	OAK	30%	41	38	9	2	0	1	3	11	0	1	0	237	293	368	661	132	291	27	7	269	71	-1	+0	+0	+1	+1	0.0
2028	26	MLB CTX	OAK	44%	105	96	21	4	1	2	7	28	1	2	0	219	279	344	623	125	292	27	7	274	75	-3	+0	+0	+2	+2	0.1
2029	27	MLB CTX	OAK	49%	148	136	30	6	1	3	10	40	1	2	1	221	279	346	624	125	292	27	7	277	76	-4	+0	+0	+3	+3	0.2
2030	28	MLB CTX	OAK	51%	177	160	36	7	1	4	13	48	2	2	1	225	291	356	648	131	291	27	7	277	76	-5	+0	-0	+3	+4	0.2
2031	29	MLB CTX	OAK	51%	186	169	37	7	1	4	13	51	2	2	1	219	283	343	626	124	290	27	7	275	75	-6	+0	-1	+3	+4	0.1
2032	30	MLB CTX	OAK	51%	192	174	39	8	1	4	14	53	2	2	1	224	289	351	640	126	289	28	7	272	73	-6	+0	-1	+3	+4	0.0
2033	31	MLB CTX	OAK	51%	184	167	36	7	1	3	13	51	2	2	1	216	280	323	604	108	287	28	7	268	70	-6	+0	-1	+3	+4	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1033	940	208	41	6	21	73	282	10	13	5	221	284	345	629	123	291	27	7	274	68	-32	+1	-4	+18	+22	0.6
/ 162G	—	A+C		—	650	591	131	26	4	13	46	177	6	8	3	222	285	345	630	124	291	27	7	274	68	-20	+0	-2	+12	+14	0.4
Career	—	MLE		—	2568	2343	497	99	14	44	174	716	25	33	11	212	274	323	596	111	283	28	7	268	68	-66	+3	-7	+38	+46	1.4
/ 162G	—	MLE		—	650	593	126	25	4	11	44	181	6	8	3	212	274	324	597	111	283	28	7	268	68	-20	+1	-2	+12	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#5Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.7	1,124	22	15	218	278	335	+20	+16	1.7	1.6
/162	664	13	9	+11.9	+9.5	1.0	pk7: 2
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Carlos Amaya (OGILVIE)	24	—	—	—	—	210/268/312	103	284	1	1	28%	6%	65	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sicnarf Loopstok 2017 · A	24	43→37	42→50	50	38	209/268/316	107	294	9	13	31%	5%	65	-1.2	211/281/360	149	299	17	9	34%	7%	81	-0.1	199/275/365	165	277	21	7	34%	7%	81	-0.0
✕Vito Friscia 2021 · A	24	43	40→45	49→40	42	208/266/303	94	290	7	5	30%	7%	61	-1.5	209/292/323	114	317	11	4	34%	10%	76	-0.4	198/289/313	115	298	12	2	34%	10%	72	-0.4
✕Jeferson Morales 2023 · A	24	38→48	46→45	49→50	43	193/273/321	128	259	13	9	30%	7%	70	-0.9	215/289/341	126	276	12	9	25%	7%	79	-0.2	221/295/347	125	275	11	8	22%	7%	80	-0.1
✕Carlos Narváez 2023 · A	24	36→45	46→45	46→45	44	182/271/305	123	284	14	6	38%	10%	65	-1.2	206/290/331	125	292	13	7	32%	9%	78	-0.3	212/295/344	132	286	15	6	29%	9%	81	-0.0
✕Andrew Navigato 2022 · AA	24	41→40	44→55	46→50	44	203/280/318	115	282	11	13	30%	8%	71	-0.8	217/276/370	153	271	17	14	26%	6%	81	-0.1	214/273/383	169	262	19	17	26%	6%	81	-0.1
✕Bryan Holaday 2012 · AA	24	42	41→45	48→40	41	205/261/298	93	274	8	7	28%	6%	58	-1.7	216/265/299	83	272	6	5	22%	5%	59	-1.6	220/288/344	124	255	13	2	19%	7%	76	-0.1
✕Pedro Pagés 2023 · AAA	24	41→45	44→50	44→40	41	201/265/312	111	295	12	4	34%	7%	63	-1.3	224/284/356	132	292	15	4	27%	7%	80	-0.1	227/286/364	137	285	17	2	26%	7%	81	-0.0
✕Chase Strumpf 2022 · AA	24	42→37	43→50	48→45	46	203/285/317	113	292	10	7	32%	9%	72	-0.7	194/293/340	146	311	17	5	39%	10%	82	-0.0	178/283/325	147	289	18	3	41%	11%	72	-0.5
✕Jake Rogers 2019 · AA	24	37→40	46→55	48→45	41	194/258/325	131	264	14	9	32%	7%	64	-1.3	204/278/363	159	283	19	5	33%	8%	81	-0.1	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Aramis Garcia 2017 · A	24	42→41	43→50	46→45	41	210/263/315	105	286	12	4	30%	6%	63	-1.4	215/260/357	142	294	17	2	32%	5%	72	-0.7	192/231/311	119	253	16	3	31%	3%	48	-0.8
✕Blake Hunt 2023 · AA	24	38	42→45	50→40	39	192/251/296	104	277	10	5	33%	6%	55	-2.0	208/265/332	124	274	13	5	28%	6%	68	-1.0	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Jhoneiker Betancourt 2023 · A	23	43	40→50	50→40	42	206/280/300	94	283	7	6	28%	6%	67	-1.1	205/276/339	134	277	16	4	31%	6%	74	-0.5	180/260/332	152	234	22	0	33%	7%	72	-0.3
✕René Pinto 2021 · AA	24	45	41→55	43→40	42	218/270/316	99	291	7	5	27%	6%	65	-1.2	216/255/368	152	304	19	5	34%	4%	73	-0.6	209/246/371	162	288	21	3	35%	4%	67	-0.6
✕Xorge Carrillo 2013 · A	24	42	43→40	49→30	40	209/255/316	107	274	11	8	28%	6%	60	-1.6	238/290/320	82	293	6	4	20%	5%	74	-0.5	237/294/318	81	281	7	1	18%	4%	73	-0.3
✕Brian Serven 2019 · A	24	42	42→50	41→30	41	206/258/318	112	267	9	4	26%	5%	62	-1.4	192/248/315	123	247	13	4	27%	5%	58	-1.7	217/296/335	118	314	12	1	32%	8%	79	-0.1
✕Wynston Sawyer 2016 · A	24	44	39→45	52→45	45	210/266/298	88	268	6	7	24%	6%	60	-1.6	226/301/334	108	290	9	6	24%	8%	82	+0.0	228/314/342	113	289	10	2	23%	9%	86	+0.1
✕Willie MacIver 2021 · A	24	38→35	43→50	49→55	37	193/242/301	107	263	10	9	30%	5%	52	-2.2	194/263/314	120	281	13	15	34%	7%	63	-1.3	231/310/361	130	325	12	18	30%	8%	89	+0.3
✕Chuckie Robinson 2019 · A	24	41→51	45	44→45	39	210/251/329	119	275	12	6	28%	5%	61	-1.5	198/250/298	100	280	10	8	32%	5%	55	-2.0	234/287/347	113	292	13	7	24%	5%	76	-0.2
✕Carson Blair 2014 · A	24	39	44→50	45→30	41	190/258/311	122	294	11	6	37%	8%	61	-1.5	206/279/340	134	336	13	3	39%	9%	76	-0.4	198/275/332	134	322	13	1	40%	9%	69	-0.5
✕Quincy McAfee 2022 · AA	24	42	43→45	48→45	50	206/299/320	114	269	10	10	25%	9%	79	-0.2	194/278/313	119	253	12	8	27%	8%	70	-0.9	180/264/299	119	228	13	8	27%	7%	59	-1.0

Career Stats + Projections

Career Comps

Career Path Comps